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Hands-on Deep Learning with TensorFlow [Video]\Exercise Files\code_34264.zip |
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Hands-on Deep Learning with TensorFlow [Video]\6.Generative Adversarial Networks for Creating Synthetic Dataset\22.Downloading and Setting Up the (Microsoft Research Asia) Geolife Project Dataset.mp4
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Hands-on Deep Learning with TensorFlow [Video]\6.Generative Adversarial Networks for Creating Synthetic Dataset\24.Training GANs to Create Synthetic GPS Based Trajectories.mp4
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Hands-on Deep Learning with TensorFlow [Video]\6.Generative Adversarial Networks for Creating Synthetic Dataset\23.Coding the Generator and Discriminator Using TensorFlow.mp4
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Hands-on Deep Learning with TensorFlow [Video]\6.Generative Adversarial Networks for Creating Synthetic Dataset\21.Generative Adversarial Networks for Creating Synthetic Dataset.mp4
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Hands-on Deep Learning with TensorFlow [Video]\1.Setting Up the Deep Learning Playground\03.Basic Syntaxes, Function Optimization, Variables, and Placeholders.mp4
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Hands-on Deep Learning with TensorFlow [Video]\1.Setting Up the Deep Learning Playground\02.TensorFlow for Building Deep Learning Models.mp4
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Hands-on Deep Learning with TensorFlow [Video]\1.Setting Up the Deep Learning Playground\01.The Course Overview.mp4
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Hands-on Deep Learning with TensorFlow [Video]\1.Setting Up the Deep Learning Playground\04.TensorBoard for Visualization.mp4
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Hands-on Deep Learning with TensorFlow [Video]\5.Using Autoencoders to Efficiently Represent Data\19.Using Stacked Autoencoders for Representation on MNIST Dataset.mp4
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Hands-on Deep Learning with TensorFlow [Video]\5.Using Autoencoders to Efficiently Represent Data\17.Encoder and Decoder for Efficient Data Representation.mp4
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Hands-on Deep Learning with TensorFlow [Video]\5.Using Autoencoders to Efficiently Represent Data\20.Build a Deep Autoencoder to Reduce Latent Space of LFW Face Dataset.mp4
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Hands-on Deep Learning with TensorFlow [Video]\5.Using Autoencoders to Efficiently Represent Data\18.TensorFlow Code Using Linear Autoencoder to Perform PCA on a 4D Dataset.mp4
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Hands-on Deep Learning with TensorFlow [Video]\4.Exercise RNN to Solve Two Time Series Problems\13.Understanding the RNN and the Need for LSTM.mp4
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Hands-on Deep Learning with TensorFlow [Video]\4.Exercise RNN to Solve Two Time Series Problems\14.Implementing RNN.mp4
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Hands-on Deep Learning with TensorFlow [Video]\4.Exercise RNN to Solve Two Time Series Problems\16.Implement LSTM Project to Predict Decimal Number of Given Binary Representation.mp4
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Hands-on Deep Learning with TensorFlow [Video]\4.Exercise RNN to Solve Two Time Series Problems\15.Monthly Riverflow Prediction of Turtle River in Ontario.mp4
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Hands-on Deep Learning with TensorFlow [Video]\3.Applying CNN on Two Real Datasets\11.Using tf.train.AdamOptimizer API to Optimize CNN.mp4
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Hands-on Deep Learning with TensorFlow [Video]\3.Applying CNN on Two Real Datasets\10.Writing the TensorFlow Code to Add Convolutional and Pooling Layers.mp4
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Hands-on Deep Learning with TensorFlow [Video]\3.Applying CNN on Two Real Datasets\09.Importing the Two Datasets Using TensorFlow and Sklearn API.mp4
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Hands-on Deep Learning with TensorFlow [Video]\3.Applying CNN on Two Real Datasets\12.Implementing CNN to Create a Face Recognition System.mp4
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Hands-on Deep Learning with TensorFlow [Video]\2.Training Deep Feed-forward Neural Networks with TensorFlow\08.Using DNN Predicting Whether Breast Cancer Cells Are Benign or Not.mp4
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Hands-on Deep Learning with TensorFlow [Video]\2.Training Deep Feed-forward Neural Networks with TensorFlow\07.Optimizing the Softmax Cross Entropy Function.mp4
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Hands-on Deep Learning with TensorFlow [Video]\2.Training Deep Feed-forward Neural Networks with TensorFlow\06.Building the Layers of the Neural Network in TensorFlow.mp4
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Hands-on Deep Learning with TensorFlow [Video]\2.Training Deep Feed-forward Neural Networks with TensorFlow\05.Start by Loading the Imported Dataset.mp4
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